Fine-Grained Image Analysis: Modern Approaches Hardback
by Xiu-Shen Wei
Part of the Synthesis Lectures on Computer Vision series
Hardback
Description
This book provides a comprehensive overview of the fine-grained image analysis research and modern approaches based on deep learning, spanning the full range of topics needed for designing operational fine-grained image systems.
The author begins by providing detailed background information on FGIA, focusing on recognition and retrieval.
The author also provides the fundamentals of convolutional neural networks to further make it easier for readers to understand the technical content in the book.
The book introduces the main technical paradigms, technological developments, and representative approaches of fine-grained image recognition and fine-grained image retrieval.
The author covers multiple popular research topics and includes cross-domain knowledge.
The book also highlights advanced applications and topics for future research.
Information
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Out of stock
- Format:Hardback
- Pages:206 pages, 86 Illustrations, color; 4 Illustrations, black and white; XII, 206 p. 90 illus., 86 illu
- Publisher:Springer International Publishing AG
- Publication Date:04/07/2023
- Category:
- ISBN:9783031313738
Information
-
Out of stock
- Format:Hardback
- Pages:206 pages, 86 Illustrations, color; 4 Illustrations, black and white; XII, 206 p. 90 illus., 86 illu
- Publisher:Springer International Publishing AG
- Publication Date:04/07/2023
- Category:
- ISBN:9783031313738
